mlsanityData to 14 Oct 2026

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development

arXiv 2301.09715 ↗First posted 23 Jan 2023cs.CL cs.IR cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

The field of Question Answering (QA) has made remarkable progress in recent years, thanks to the advent of large pre-trained language models, newer realistic benchmark datasets with leaderboards, and novel algorithms for key components such as retrievers and readers. In this paper, we introduce PRIMEQA: a one-stop and open-source QA repository with an aim to democratize QA re-search and facilitate easy replication of state-of-the-art (SOTA) QA methods. PRIMEQA supports core QA functionalities like retrieval and reading comprehension as well as auxiliary capabilities such as question generation.It has been designed as an end-to-end toolkit for various use cases: building front-end applications, replicating SOTA methods on pub-lic benchmarks, and expanding pre-existing methods. PRIMEQA is available at : https://github.com/primeqa.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 43 of its 63 references that are in the map. First posted on arXiv 23 Jan 2023.

Builds on

43 of 63 references.

References · 43

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2022Training language models to follow instructions with human feedbackcited by 15,971
  4. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  5. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  6. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  7. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  8. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  9. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
  10. 2017Billion-scale similarity search with GPUscited by 2,497
  11. 2019BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questionscited by 2,183
  12. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
31 more
  1. 2019fairseq: A Fast, Extensible Toolkit for Sequence Modelingcited by 1,488
  2. 2020DocVQA: A Dataset for VQA on Document Imagescited by 1,317
  3. 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,210
  4. 2017Reading Wikipedia to Answer Open-Domain Questionscited by 777
  5. 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 695
  6. 2017Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learningcited by 687
  7. 2019ELI5: Long Form Question Answeringcited by 575
  8. 2020KILT: a Benchmark for Knowledge Intensive Language Taskscited by 573
  9. 2015Compositional Semantic Parsing on Semi-Structured Tablescited by 515
  10. 2020TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languagescited by 488
  11. 2021ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interactioncited by 476
  12. 2020TAPAS: Weakly Supervised Table Parsing via Pre-trainingcited by 434
  13. 2018AllenNLP: A Deep Semantic Natural Language Processing Platformcited by 347
  14. 2020HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Datacited by 264
  15. 2021TAPEX: Table Pre-training via Learning a Neural SQL Executorcited by 235
  16. 2020MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answeringcited by 153
  17. 2019Synthetic QA Corpora Generation with Roundtrip Consistencycited by 143
  18. 2020XOR QA: Cross-lingual Open-Retrieval Question Answeringcited by 121
  19. 2022PLAID: An Efficient Engine for Late Interaction Retrievalcited by 101
  20. 2021GooAQ: Open Question Answering with Diverse Answer Typescited by 53
  21. 2019A BERT Baseline for the Natural Questionscited by 33
  22. 2022OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answeringcited by 29
  23. 2021ReasonBERT: Pre-trained to Reason with Distant Supervisioncited by 22
  24. 2020Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehensioncited by 17
  25. 2021Learning Cross-Lingual IR from an English Retrievercited by 16
  26. 2022Synthetic Question Value Estimation for Domain Adaptation of Question Answeringcited by 12
  27. 2021Topic Transferable Table Question Answeringcited by 7
  28. 2022Synthetic Target Domain Supervision for Open Retrieval QAcited by 6
  29. 2022Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrievalcited by 5
  30. 2022Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answeringcited by 5
  31. 2022GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questionscited by 1

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 3.

4 papers.

  1. 2023QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checkingcited by 26
  2. 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
  3. 2024Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrievalcited by 1
  4. 2024Optimizing Multi-Stage Language Models for Effective Text Retrievalcited by 0